predict.hero: Predict method for 'hero' object

In hero: Spatio-Temporal (Hero) Sandwich Smoother

Predict method for hero object

Description

Predict new values based on object produced by the hero function.

Usage

## S3 method for class 'hero'
predict(object, newB, ...)

Arguments

object	A hero_bspline object created by bspline
newB	A vector or list containing the evaluated basis functions for the observations for which predictions are desired.
...	Not currently implemented.

Value

A matrix of the appropriate size

Examples

# create b-splines
x1 = bspline(nbasis = 10)
x2 = bspline(nbasis = 12)

# observed data locations
evalarg1 = seq(0, 1, len = 60)
evalarg2 = seq(0, 1, len = 80)

# construct "true" data
mu = matrix(0, nrow = 60, ncol = 80)
for(i in seq_len(60)) {
   for(j in seq_len(80)) {
      mu[i, j] =  sin(2*pi*(evalarg1[i]-.5)^3)*cos(4*pi*evalarg2[j])
   }
}
# construct noisy data
data = mu + rnorm(60 * 80)

obj = prepare(data, list(evalarg1, evalarg2), list(x1, x2))
obj = enhance(obj)
sandmod = hero(obj)
plot(sandmod)
newb1 = predict(x1, newx = seq(0, 1, len = 100))
newb2 = predict(x2, newx = seq(0, 1, len = 100))
newB = list(newb1, newb2)
p = predict(sandmod, newB = list(newb1, newb2))

hero documentation built on July 26, 2023, 5:11 p.m.